Paul Ruiz
Developer Relations Lead Robotics
Boulder, Colorado, United States
Summary
🤩
Rockstar🎓
Top SchoolPaul Ruiz is a Senior Developer Relations Engineer in Boulder with 11 years of experience focused on on-device machine learning for mobile and IoT. At Google DeepMind he leads outreach, samples, and support enablement—maintaining the TensorFlow Lite for Flutter plugin used in over 10,000 apps—and has authored tutorials and videos that have reached hundreds of thousands of developers. He’s delivered 100+ talks worldwide, trained global support teams, and mentored students through Google Summer of Code, blending advocacy with hands‑on mentorship. Paul’s open-source contributions include Android samples in TensorFlow and MediaPipe and a collection of Android demo projects that showcase model integrations and hardware control. Before DevRel he built production Android and embedded systems at Sphero (including the Bluetooth control stack for the BB‑8 toy) and Workday, pairing deep engineering chops with developer-facing expertise, and holds an MBA (4.0).
12 years of coding experience
10 years of employment as a software developer
4.0, 4.0 at University of Northern Colorado
mandarin chinese - ~hsk 3, arabic - learning (i can do basic things like order food in cairo :))
Stackoverflow
2,406reputation
278kreached
27answers
60questions
Github Skills (26)
kotlin10
mobile-development10
mediapipe10
android-sdk10
android-development10
java10
javas10
tensorflow210
tensorflow10
android10
computer-vision10
bluetoothle9
usb9
bluetooth9
tensor-flow9
Programming languages (13)
Github contributions (5)
PaulTR/AndroidDemoProjects
Jan 2014 - Aug 2022
Collection of Small Android Projects
Role in this project:
Mobile Developer (Android)
Mobile Developer (Android)Contributions:40 commits, 4 PRs, 45 pushes in 8 years 8 months
Contributions summary:Paul primarily focused on developing Android applications, as evidenced by the provided code diffs. They demonstrated proficiency in creating UI elements and integrating them with backend services or hardware. The user implemented features like controlling LEDs via Arduino ADK, a watch face, and Google Fit integrations, showcasing experience with various Android APIs.
kotlinandroid-projectsandroid
google-ai-edge/mediapipe-samples
Nov 2022 - Mar 2023
Role in this project:Mobile Developer (Android)
Mobile Developer (Android)Contributions:115 reviews, 100 commits, 241 PRs in 4 months
Contributions summary:Paul primarily contributed to the development of Android-specific samples within the MediaPipe framework. They focused on adding initial implementations for object detection and gesture recognition, creating the necessary UI components and integrating these features into the Android application. Their work involved modifying Kotlin code and integrating MediaPipe functionalities for image and video processing. Further contributions included image classification examples.
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